Data-parallel lower-upper relaxation method for reacting flows

The implicit lower-upper symmetric Gauss-Seidel (LU-SGS) method of Yoon and Jameson is modified for use on massively parallel computers. The method has been implemented on the Thinking Machines CM-5 and the MasPar MP-1 and MP-2, where large percentages of the theoretical peak floating point performa...

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Bibliographic Details
Published in:AIAA journal 1994-12, Vol.32 (12), p.2380-2386
Main Authors: Candler, Graham V, Wright, Michael J, McDonald, Jeffrey D
Format: Article
Language:English
Subjects:
Chemically reactive flows
Computational methods in fluid dynamics
Computers
Exact sciences and technology
Fluid dynamics
Fluid Mechanics And Heat Transfer
Fundamental areas of phenomenology (including applications)
Physics
Reactive, radiative, or nonequilibrium flows
Simulation
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Summary:The implicit lower-upper symmetric Gauss-Seidel (LU-SGS) method of Yoon and Jameson is modified for use on massively parallel computers. The method has been implemented on the Thinking Machines CM-5 and the MasPar MP-1 and MP-2, where large percentages of the theoretical peak floating point performance are obtained. It is shown that the new data-parallel LU relaxation method has better convergence properties than the original method for two different inviscid compressible flow simulations. The convergence is also improved for five-species reacting air computations. The performance of the method on various partitions of the CM-5 and on the MasPar computers is discussed. The new method shows promise for the efficient simulation of very large perfect gas and reacting flows.
ISSN:0001-1452
1533-385X
DOI:10.2514/3.12303